Propose a modification to the standard encoder-decoder RNN architecture to better accommodate variable-length input sequences in this specific application. Explain how your proposed solution addresses the challenges of sequence modeling.

Replace the fixed-size hidden state with an attention-based mechanism that selectively focuses on relevant parts of the input sequence, allowing the model to adapt to varying sequence lengths and capture contextual information more effectively.